15-28 September 2019
Babeş-Bolyai University
Europe/Bucharest timezone

Machine Learning L2: Gaussian Process Modelling

18 Sep 2019, 11:15
1h
Lecture Physics Computing

Speaker

Anna Scaife (University of Manchester)

Description

This lecture introduces the machine learning method of Gaussian Process Modelling (GPM). It introduces the concept of covariate Gaussian noise, including the covariance matrix as parameterised using covariance kernels, and illustrates the effect of different degrees of covariance on a simulated dataset. The lecture shows how the covariance matrix can be inverted for imputation of missing data or forward prediction based on a training data set.

Presentation Materials